Doctors rely on anatomical tests such as MRI, X-Rays, and CT scans to make a diagnosis. These are valuable anatomical tests that rely on “pictures”.
Unfortunately there are many injuries that cannot be seen – and thereby “pictured” – which nonetheless cause pain in the absence of any obvious source.
Simply stated we cannot see pain. Thus relying on a picture of something that cannot be seen is counterintuitive and helps explain why there are so many cases of non-diagnosed pain that negatively impact the lives of patients – sometimes over periods of years.
Pain is a Physiological condition. This means measuring a response to a stimulus. In such circumstances doctors would need to use Physiological tests such as: Provocative discograms, Bone Scans, Facet Blocks, PET Scans, Root Blocks, Indium 111 Scans, Peripheral Nerve Blocks and Neurometer studies for sensory nerves.
BUT there is a much simpler and more effective way!
Recognizing the need to improve Pain Testing Methodology – a research team at Johns Hopkins Hospital and School of Medicine applied the laws of retrospective analysis, pattern recognition and prospective predictive analytics and poured over 10,000 patient records (from a 17+ year period) to design three (3) tests that collectively make up Pain Validity Testing (www.PainValidityTest.com).
By combining Bayesian Probability Logic and the power of Artificial Intelligence algorithms the tests have generated a remarkable 96% match between diagnoses of former Johns Hopkins Hospital doctors and the diagnoses generated by the tests.
The research also helped quantify the magnitude of the need (as shown in the following statistics) regarding the prevalence of Chronic Pain throughout the body:
Among the strengths of Pain Validity Testing is that the methodology augments patient visits by asking questions most doctors don’t have time to ask (considering the average patient visit is 10 to 11 minutes).
The creators of the Pain Validity Testing have 1000+ testimonials from Patients, Doctors and Personal Injury Attorneys. Other very positive indicators include:
There are three (3) tests included in the PVT Tools (www.PainValidityTest.com) are:
This collection of proven tests will help Doctors determine the correct diagnosis so they can administer the correct treatment.
It is both accurate and quick: upon conclusion of the tests a patient’s answers are put through a powerful AI engine which delivers a diagnosis with a remarkable 96% correlation with diagnoses of Johns Hopkins Hospital Doctors within 5 minutes including:
As a special and exclusive introductory offer, PI Elite Community Doctors are invited to accept a free two (2) week trial of the PVT Tools up to a TOTAL of fourteen (14) tests (can be any mixture of the 3 tools). This is a true free test offer! You will NOT be asked for a credit card or any other requirement.
To participate please send an email to:
[email protected] or [email protected]
Please be sure to include Code GMJGCPI in the subject line.
We would also encourage any PI Elite Community Doctor with questions, concerns or seeking more information to reach out directly to Dr. Nelson Hendler, MS, MD - who is among the Johns Hopkins Research Team.
In addition to being a (former) Assistant Professor of Neurosurgery at Johns Hopkins University School of Medicine and a Past President of the American Academy of Pain Management, Dr. Hendler also founded and ran Mensana Clinic in Baltimore, MD for 29 years – which according to Business Week was among the top 8 best pain clinics in the United States. Dr. Hendler’s email is: [email protected]
You are also, of course, invited to contact me at the information below!
[email protected]; 647-289-3791
Thank you
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RC&T does not diagnose, treat, nor cure any illness or medical condition; results vary. Readers are encouraged to use the information and/or services presented under the guidance of health, wellness and fitness professionals they rely upon.